Company Overview :

Finquant Investech Pvt Ltd is a specialized financial technology firm focused on developing high-performance algorithmic trading systems and quantitative research frameworks.

Operating at the intersection of data science and capital markets, the company builds sophisticated infrastructure to process large-scale financial datasets and execute automated trading strategies.

Based in Chennai, the company provides a collaborative environment for engineers and researchers to solve complex problems in market microstructure and quantitative finance.

Role Overview :

The Quant Engineer will be responsible for designing, implementing, and optimizing the core systems that power our quantitative trading strategies.

Working closely with quantitative researchers and data scientists, you will bridge the gap between theoretical models and production-ready code.

This role is central to our technical operations, ensuring that our financial information systems are robust, low-latency, and capable of handling high-frequency data streams to drive competitive business outcomes.

Key Responsibilities :

- Develop and maintain high-performance trading algorithms and execution engines to ensure reliable performance in volatile market conditions.

- Architect scalable data pipelines to ingest, clean, and store massive financial datasets, enabling researchers to conduct efficient backtesting.

- Optimize existing codebases for latency and throughput to maintain a competitive edge in automated execution.

- Collaborate with cross-functional teams to integrate new quantitative models into our production environment, ensuring seamless deployment and monitoring.

- Conduct rigorous testing and validation of financial systems to mitigate operational risks and ensure data integrity across all platforms.

Required Skillset :

- Demonstrated proficiency in Python and C++ for building high-frequency trading systems and complex quantitative models.

- Strong understanding of financial information systems, including market data protocols and order management workflows.

- Proven ability to act as a data architect, designing efficient schemas and storage solutions for large-scale financial time-series data.

- Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

- A degree in Computer Science, Financial Engineering, Mathematics, or a related quantitative field from a top-tier institute.

- Ability to work effectively in an on-site environment in Chennai, contributing to a high-performance team culture.

- 0 - 5 years of experience in quantitative development or a similar technical role within the financial services industry.